| Unit name | Advanced Management Science |
|---|---|
| Unit code | EFIM30013 |
| Credit points | 20 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Professor. White |
| Open unit status | Not open |
| Pre-requisites |
QM1 and QM2 or Management Science I |
| Co-requisites |
None |
| School/department | School of Management - Business School |
| Faculty | Faculty of Social Sciences and Law |
To introduce some interesting and useful advanced management science techniques and show how they can be used to approach day-to-day issues faced by organisations in the both the private and public sector. In particular the module will introduce students to analytical methods appropriate to assessing the performance of organisations to enable students to gain an understanding of the suitable quantitative approaches used in performance evaluations (and related areas). On completion of this module students will be able to approach specific organisational problems using management science techniques and identify solutions with and without using computers.
On completion of this module, students should be able to: • Understand the nature of Management Science in the context of performance management; • Appreciate the nature of MS modelling and how real-world systems may be represented in mathematical form, analyse such models and realise them on a computer; • To develop an appropriate mathematical or structured model and perform the necessary analysis of it; • To apply their model building, problem-solving and numerical skills to solve complex problems; • To select an appropriate Management Science technique applicable to a given management problem.
Lectures, tutorials
1 Formative coursework and a Final exam (100%)
J Kallrath & JM Wilson (1997) Business Optimisation Using Mathematical Programming. Macmillan.
